def __readin(tweetSet):
line = dts.readlineI()
if not line:
return
#print '\n'+ line
# if not re.match( r'\}\s*$', line ):
# nline = dts.readlineI()
#
# if not nline:
# return
# line += nline
try:
obj = json.loads(line)
except:
#print line
nextline = dts.readlineI()
#print nextline
return
text = __cleanRT(obj['text'])
if not text:
return
else:
tweetSet.add(text)
def __divide(parList):
line = dts.readlineI()
if not line:
return
obj = json.loads(line)
text = obj['text']
ans = 0
for emo in Emotions:
label = int(emo['label'])
for icon in emo['Icons']:
if icon in text:
if 0 == ans or label == ans:
ans = label
else:
ans = -1
if ans > 0:
ttext = re.sub('[!?]', '', text)
ttext = re.sub('[^\d\w\ ]', '', ttext)
ttext = re.sub('USERNAME', '', ttext)
ttext = re.sub('URL', '', text)
if len(tokenizer.tokenize(text)) <= 3:
return
if ans > 0 and Emotions[ans - 1]['cnt'] < parList[0]:
Emotions[ans - 1]['cnt'] += 1
Emotions[ans - 1]['fileptr'].write(line)
def filterHashtags():
line = dts.readlineI()
if not line:
return
try:
obj = json.loads(line)
except:
return
text = obj["text"]
pt = "space"
for topic in topicList:
matchs = re.search(topic, text)
if not matchs:
continue
else:
pt = topic
break
if not matchs:
return
else:
nobj = {"text": text, "hashtag": pt}
dts.writeO(json.dumps(nobj) + '\n')
pass
def __io():
line = dts.readlineI()
if not line:
return
obj = json.loads(line)
text = obj['text']
dts.writeO(text + '\n')
def __testEmo():
line = dts.readlineI()
if not line:
return
obj = json.loads(line)
if u'\U0001F608' in obj['text']:
print obj['text']
def __divide():
line = dts.readlineI()
if not line:
return
try:
obj = json.loads( line )
except:
return
text = obj['text']
ans = 0
for emo in Emotions:
label = int ( emo['label'] )
for icon in emo['Icons']:
if icon in text:
if 0 == ans or label == ans:
ans = label
else:
ans = -1
if ans > 0 :
# for add the hashtag to HashtagSet
htList = re.findall( '#\w+', text )
global hashtagSet
for ht in htList:
hashtagSet.add( ht[1:].lower() )
#text = preprocess_func.preprocess( text ).lower()
#text = text.lower()
#text = re.sub( '[!?]', '', text )
#text = re.sub( '[^\d\w\ ]', '', text )
#text = re.sub( 'username', '', text )
#text = re.sub( 'twhashtag', '', text )
#text = re.sub( 'url', '', text )
text = re.sub( '\s+', ' ', text )
if len( tokenizer.tokenize( preprocess_func.preprocess(text ).lower() )) <= 3:
return
tmp = {u'text':text, u'label':ans}
dts.writeO( json.dumps(tmp) + '\n' )
for emo in Emotions:
label = 0
#print '%d:%d\n' % ( ans, int(emo['label'] ))
if ans == int(emo['label']):
label = 1
Emotions[ ans - 1 ][ 'cnt' ] += 1
tmp = {u'text':text, u'label':label}
emo['fileptr'].write( json.dumps(tmp) + '\n' )
else :
if Emotions[ans-1]['ncnt'] < Emotions[ans-1]['cnt']:
label = -1
Emotions[ ans - 1 ][ 'ncnt' ] += 1
tmp = {u'text':text, u'label':label}
emo['fileptr'].write( json.dumps(tmp) + '\n' )
pass
def __calcIDF(dict):
line = dts.readlineI()
if not line:
return
line = re.sub('[!?]', '', line)
line = re.sub(r'[^\d\w\ ]', '', line)
for term in tokenizer.tokenize(line):
dict.update({term: dict.get(term, 0) + 1})
def __filter_bigram(ran):
line = dts.readlineI()
if not line:
return
left = ran[0]
right = ran[1]
num = int(line.split(':')[1])
if num >= left and num <= right:
dts.writeO(line)
def __filter_range(border):
l = border[0]
r = border[1]
line = dts.readlineI()
if not line:
return
cnt = int((line.split(':'))[1])
if cnt >= l and cnt <= r:
dts.writeO(line)
def __divide():
line = dts.readlineI()
if not line:
return
obj = json.loads(line)
text = obj['text']
label = __label(text)
if label > 0:
obj['label'] = label
dts.writeO(json.dumps(obj) + '\n')
def __dealLine(param):
line = dts.readlineI()
if not line:
return
try:
obj = json.loads(line)
except:
#print line
nextline = dts.readlineI()
#print nextline
return
text = obj['text']
regex = r'#\w+'
matchs = re.findall(regex, text)
if not matchs:
return
for words in matchs:
words = words.lower()
topicDict.update({words: topicDict.get(words, 0) + 1})
def __divide():
line = dts.readlineI()
if not line:
return
global GC
if GC < 1000000:
GC += 1
return
try:
obj = json.loads(line)
except:
return
text = obj['text']
ans = 0
for emo in Emotions:
label = int(emo['label'])
for icon in emo['Icons']:
if icon in text:
if 0 == ans or label == ans:
ans = label
else:
ans = -1
if ans > 0:
text = re.sub('[!?]', '', text)
text = re.sub('[^\d\w\ ]', '', text)
text = re.sub('USERNAME', '', text)
text = re.sub('URL', '', text)
if len(tokenizer.tokenize(text)) <= 3:
return
tmp = {u'text': text, u'label': ans}
dts.writeO(json.dumps(tmp) + '\n')
for emo in Emotions:
label = 0
#print '%d:%d\n' % ( ans, int(emo['label'] ))
if ans == int(emo['label']):
label = 1
Emotions[ans - 1]['cnt'] += 1
tmp = {u'text': text, u'label': label}
emo['fileptr'].write(json.dumps(tmp) + '\n')
else:
if Emotions[ans - 1]['ncnt'] < Emotions[ans - 1]['cnt']:
label = -1
Emotions[ans - 1]['ncnt'] += 1
tmp = {u'text': text, u'label': label}
emo['fileptr'].write(json.dumps(tmp) + '\n')
pass
def dealLine():
line = dts.readlineI()
for emo in Emotions:
flag = -2
for eicon in emo['Icons']:
if eicon in line:
print line
#flag = line.find( eicon )
flag = 0
break
if flag >= 0:
emo['cnt'] = emo['cnt'] + 1
def __bigram(dict):
text = dts.readlineI()
if not text:
return
text = re.sub('[!?]', '', text)
text = re.sub('[^\d\w\ ]', '', text)
tokens = tokenizer.tokenize(text)
for wx in tokens:
for wy in tokens:
tmpstr = wx + '#' + wy
dict.update({tmpstr: dict.get(tmpstr, 0) + 1})
def dealLine():
line = dts.readlineI()
for emo in Emotions:
if emo['cnt'] > MaxEmotionSize:
continue
flag = -2
for eicon in emo['Icons']:
flag = line.find( eicon )
if flag != -1 :
emo['fileptr'].write( line )
break
if flag >= 0:
emo['cnt'] = emo['cnt'] + 1
def __lineParse():
line = dts.readlineI()
if not line:
return
obj = eval(line)
output = str(obj[1]) + ' '
wordlist = {}
for word, value in obj[0].iteritems():
if value > 0:
wordlist.update({__getIndex(word): value})
#output += str(__getIndex(word)) + ':'+ str(value) +' '
for key, value in [(k, wordlist[k]) for k in sorted(wordlist.keys())]:
output += str(key) + ':' + str(value) + ' '
if obj[1] > 1:
dts.writeO(output + '\n')
def parse_line():
line = dts.readlineI()
if not line:
return
try:
obj = json.loads(line)
except:
return
label = obj[u'label']
text = obj[u'text']
global PC
if int(label) == 1:
PC += 1
output = '%d %s\n' % (label, gen_Feature(text))
dts.writeO(output)
dts.writeL(str(label) + '\n')
def __dealLine(param):
line = dts.readlineI()
if not line:
return
obj = json.loads( line )
text = obj['text']
hashtag = obj['hashtag']
if hashtag != param[0]:
return
wordList = tokenizer.tokenize(preprocess(text))
dict = {}
for uni in getUnigramWords.getUnigramWords():
dict.update( { uni: 0 } )
for word in wordList:
if word == uni:
dict.update( { word: 1 } )
nobj = ( dict, 0 )
#print nobj
dts.writeO( str(nobj)+'\n' )
def __push():
text = dts.readlineI()
tw.add(text)
def findemoji(str):
line = dts.readlineI()
if str in line:
print(line)
dts.writeO(line)
def __line():
line = dts.readlineI()
if not line:
return
obj = eval(line)
counter[obj[1]] += 1
def __cleanTweet():
dts.writeO( __bandWords(dts.readlineI()) )
def __preprocess():
line = preprocess_func.preprocess(dts.readlineI())
dts.writeO(line)
